Abstract—Dragonfly topologies are one of the most promising interconnect designs for enabling large, potentially exascale compute systems, particularly those envisioned to accommodate workloads that are sensitive to system diameter and end-to-end latency. They are cost-effective designs with a very low diameter and close to optimal performance for workloads which induce a balanced load across the network. However, these benefits are balanced by a reduced path diversity, which leaves Dragonflies vulnerable to certain adversarial traffic patterns. The performance of such workloads can be significantly improved using indirect routing approaches. However, the indirect routing approach that is most commonly used today exhibits in turn significan...
Universal globally adaptive load-balanced (UGAL) routing has been proposed for various interconnecti...
Current HPC and datacenter networks rely on large-radix routers. Hamming graphs (Cartesian products ...
Accurately estimating congestion for proper global adaptive routing decisions (i.e., determine wheth...
Dragonfly topologies are recent network designs that are considered one of the most promising interc...
Abstract—Interconnection networks are a critical resource for large supercomputers. The dragonfly to...
Evolving technology and increasing pin-bandwidth moti-vate the use of high-radix routers to reduce t...
Dragonfly networks arrange network routers in a two-level hierarchy, providing a competitive cost-pe...
Adaptive deadlock-free routing mechanisms are required to handle variable traffic patterns in dragon...
The Cray Cascade architecture uses Dragonfly as its interconnect topology and employs a globally ada...
Dragonflies are one of the most promising topologies for the Exascale effort for their scalability a...
The dragonfly topology is becoming a popular choice for building high-radix, low-diameter networks w...
High-radix hierarchical networks are cost-effective topologies for large scale computers. In such ne...
Abstract—High-radix hierarchical networks are cost-effective topologies for large scale computers. I...
Large-scale compute clusters are highly affected by performance variability that originates from dif...
International audienceHigh-radix direct network topologies such as Dragonfly have been proposed for ...
Universal globally adaptive load-balanced (UGAL) routing has been proposed for various interconnecti...
Current HPC and datacenter networks rely on large-radix routers. Hamming graphs (Cartesian products ...
Accurately estimating congestion for proper global adaptive routing decisions (i.e., determine wheth...
Dragonfly topologies are recent network designs that are considered one of the most promising interc...
Abstract—Interconnection networks are a critical resource for large supercomputers. The dragonfly to...
Evolving technology and increasing pin-bandwidth moti-vate the use of high-radix routers to reduce t...
Dragonfly networks arrange network routers in a two-level hierarchy, providing a competitive cost-pe...
Adaptive deadlock-free routing mechanisms are required to handle variable traffic patterns in dragon...
The Cray Cascade architecture uses Dragonfly as its interconnect topology and employs a globally ada...
Dragonflies are one of the most promising topologies for the Exascale effort for their scalability a...
The dragonfly topology is becoming a popular choice for building high-radix, low-diameter networks w...
High-radix hierarchical networks are cost-effective topologies for large scale computers. In such ne...
Abstract—High-radix hierarchical networks are cost-effective topologies for large scale computers. I...
Large-scale compute clusters are highly affected by performance variability that originates from dif...
International audienceHigh-radix direct network topologies such as Dragonfly have been proposed for ...
Universal globally adaptive load-balanced (UGAL) routing has been proposed for various interconnecti...
Current HPC and datacenter networks rely on large-radix routers. Hamming graphs (Cartesian products ...
Accurately estimating congestion for proper global adaptive routing decisions (i.e., determine wheth...